Gespeichert in:
Bibliographische Detailangaben
Weitere beteiligte Personen: Vankrunkelsven, Vincent (MitwirkendeR)
Format: Elektronisch Video
Sprache:Englisch
Veröffentlicht: [Birmingham, United Kingdom] Packt Publishing [2025]
Ausgabe:[First edition].
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781806020478/?ar
Zusammenfassung:In this course, you'll unlock the potential of large language models (LLMs) like OpenAI's GPT, using LangChain to analyze electric car registrations in Washington state. Start by importing the electric car dataset and asking GPT insightful questions about the data. Engage in a dynamic conversation with GPT to generate and execute Python code that uncovers key trends, such as identifying the most popular electric vehicle models. As you interact with GPT, you'll create and visualize data through detailed bar plots. The course emphasizes a seamless workflow where GPT's conversational memory helps maintain context across interactions, ensuring precise, reproducible insights. By the end, you'll have a solid understanding of how to leverage conversational AI to enrich data analysis, automate coding tasks, and visualize complex datasets-empowering you to make data-driven decisions with confidence.
Beschreibung:"DataLab" : DataLab is a learning solution designed to empower individuals and teams to explore data, build skills, and solve real-world problems. With interactive content, hands-on exercises, and a focus on practical application, DataLab helps learners turn data curiosity into confident capability-no matter where they start. - Online resource; title from title details screen (O'Reilly, viewed April 9, 2025)
Umfang:1 Online-Ressource (1 video file (45 min.)) sound, color.
ISBN:9781806020478
1806020475